Model: GPT-4
Avatar of the person chatting

I want your help in looking at AWS solutions, whether they just involving out of the box AWS solutions, opensource projects, or building some code to help with a special use case of streaming M4a audio from S3 buckets. Here are some of the caveats. The audio files are often 100 hours long, like 5GB, but we will only have a FEW users using this, we don't need to be able to scale to perform to provide a solution to many users at the same time. The goal is to ideally use something that DOESN'T require having to copy that whole S3 M4A file to another AWS service or EC2 instance or anything , but is able to stream direction from S3, the most important ability will be for the user to be able to fast forward and rewind easily to find stuff. Because in the end the user is effectively going to be fast forwarding and rewinding through the 100 hours in order to find the timestamps of a certain beginning and ending of someting within that large 100 hour audio. Please advise me on some options, and also tell me the estimated costs of those solutions

Based on your requirements, here's a solution that utilizes AWS services and open-source projects to achieve your goal of streaming M4A audio from S3 buckets:

  1. Enable S3 Transfer Acceleration: This will speed up the transfer of files between your users and your S3 bucket by leveraging Amazon CloudFront's globally distributed edge locations.

  2. Set up Amazon CloudFront: CloudFront is a content delivery network (CDN) that can cache and deliver content from your S3 bucket to users with low latency. It also supports HTTP range requests, which are essential for enabling seeking (fast-forward and rewind) functionality in audio streaming.

  3. Use Signed URLs or Signed Cookies: To secure access to your audio files, you can generate signed URLs or use signed cookies. This will ensure that only authorized users can access your audio content.

  4. Implement an audio player: You can use an open-source audio player like Howler.js or Video.js with the M4A audio format support to provide playback and seeking controls for your users.

Here's an estimation of the costs for this solution:

  1. Amazon S3: You will be charged for storage, requests, and data transfer. Storage pricing depends on the region, but for example, in the US East (Northern Virginia) region, it's $0.023 per GB for the first 50 TB/month. Data transfer out to the internet ranges from $0.05 to $0.09 per GB, depending on the monthly volume.

  2. S3 Transfer Acceleration: There is an additional cost for using Transfer Acceleration. It's $0.04 per GB for data transfer in and $0.08 per GB for data transfer out to the internet.

  3. Amazon CloudFront: You'll be charged for data transfer out and HTTP/HTTPS requests. Data transfer pricing depends on the region and monthly volume, ranging from $0.085 to $0.25 per GB. HTTP/HTTPS request pricing ranges from $0.0075 to $0.022 per 10,000 requests, depending on the request type.

Keep in mind that these costs are estimates and may change over time. You can use the AWS Pricing Calculator (https://calculator.aws/) to get a more accurate estimate based on your specific needs.

This solution allows you to stream audio directly from S3 without the need to copy files to another service or EC2 instance. The combination of S3 Transfer Acceleration, CloudFront, and a suitable audio player will provide your users with the ability to fast-forward and rewind through the audio content to find specific timestamps.

Avatar of the person chatting

using one of those free open source audio players, running within some kind of AWS service, can you design an end to end system to pull this off.. For now don't focus on the configuration tasks for setting up the S3 tranfer accerlation , or cloudfront, we can ask about that later, but focus on the full end to end solution, the libraries used, and then any code , or automation needed to pull it off.. presume that the Input as a url parameter will be the URL to the S3 file, and we don't need any authentication.

To create an end-to-end solution using open-source audio players and AWS services, I'll suggest a simple architecture that leverages Amazon S3, AWS Lambda, Amazon API Gateway, and the Howler.js audio player library. This system assumes the input will be an S3 URL as a parameter and doesn't require any authentication.

Here's a step-by-step guide to set up the solution:

  1. Set up an Amazon S3 bucket to store your M4A audio files.

  2. Create an AWS Lambda function that processes the URL parameter and generates a pre-signed URL for the requested audio file. This ensures that only users with the pre-signed URL can access the audio content.

Lambda function code (Python):

pythonCopy code
import boto3 import os from urllib.parse import urlparse def lambda_handler(event, context): s3 = boto3.client('s3') audio_url = event['queryStringParameters']['url'] parsed_url = urlparse(audio_url) bucket_name = parsed_url.netloc.split('.')[0] audio_key = parsed_url.path.lstrip('/') # Generate a pre-signed URL presigned_url = s3.generate_presigned_url( ClientMethod='get_object', Params={ 'Bucket': bucket_name, 'Key': audio_key }, ExpiresIn=3600 ) return { 'statusCode': 200, 'body': presigned_url }
  1. Set up Amazon API Gateway to create an HTTP API that triggers the Lambda function. Configure the API Gateway to accept the URL parameter and pass it to the Lambda function.

  2. Create a simple web page that hosts the Howler.js audio player. You can use any static website hosting service, such as Amazon S3, GitHub Pages, or Netlify. The web page will make a request to the API Gateway to obtain the pre-signed URL and then use it as the source for the Howler.js audio player.

Web page code (HTML and JavaScript):

htmlCopy code
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Audio Player</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/howler/2.2.3/howler.min.js"></script> </head> <body> <button id="playBtn">Play</button> <button id="pauseBtn">Pause</button> <button id="stopBtn">Stop</button> <script> const apiGatewayUrl = 'https://your-api-gateway-url.amazonaws.com'; const s3Url = 'https://your-s3-bucket-url/path/to/audio.m4a'; let sound; async function getPresignedUrl() { const response = await fetch(`${apiGatewayUrl}?url=${encodeURIComponent(s3Url)}`); const presignedUrl = await response.text(); return presignedUrl; } getPresignedUrl().then(presignedUrl => { sound = new Howl({ src: [presignedUrl], format: ['m4a'] }); document.getElementById('playBtn').addEventListener('click', () => sound.play()); document.getElementById('pauseBtn').addEventListener('click', () => sound.pause()); document.getElementById('stopBtn').addEventListener('click', () => { sound.stop(); sound.seek(0); }); }); </script> </body> </html>

Replace https://your-api-gateway-url.amazonaws.com with your API Gateway URL and https://your-s3-bucket-url/path/to/audio.m4a

Avatar of the person chatting

now can you walk me through the steps needed for this project to setup the 1) S3 presigned url 2)S3 Transfer Acceleration 3)Amazon API Gateway , and in the exampe you used you didn't end up doing cloudfront? or did you, and if so add that to the list of things for this step by step guide

Certainly! Here's a step-by-step guide to setting up each component for your project:

  1. S3 Pre-signed URL: The Lambda function in the previous response already generates a pre-signed URL for the requested audio file. However, to recap, you'll use the generate_presigned_url method from the Boto3 S3 client. This method takes the client method (e.g., 'get_object'), bucket name, key, and expiration time as parameters.

  2. S3 Transfer Acceleration:

    a. Sign in to the AWS Management Console and open the Amazon S3 console.

    b. Choose the bucket you want to enable Transfer Acceleration for.

    c. Choose the 'Properties' tab.

    d. In the 'Transfer Acceleration' section, choose 'Enable'.

    e. To use Transfer Acceleration, you'll need to update your bucket's endpoint URL. The URL format is https://BUCKET_NAME.s3-accelerate.amazonaws.com.

  3. Amazon API Gateway:

    a. Sign in to the AWS Management Console and open the API Gateway console.

    b. Choose 'Create API'.

    c. Select 'HTTP API' and click 'Build'.

    d. Choose 'Add Integration' and select 'Lambda Function'.

    e. Select your Lambda function created earlier and click 'Next'.

    f. Define a route for your API, for example, using the 'GET' method and '/presigned-url' as the resource path.

    g. Click 'Next', review your API configuration, and click 'Create'.

    h. After creating the API, go to the 'Settings' tab and enable 'CORS'. This allows your web page to make requests to the API.

  4. Amazon CloudFront:

    a. Sign in to the AWS Management Console and open the CloudFront console.

    b. Click 'Create Distribution'.

    c. Choose 'Web' and click 'Get Started'.

    d. In the 'Origin Domain Name' field, enter the S3 Transfer Acceleration URL (e.g., https://BUCKET_NAME.s3-accelerate.amazonaws.com).

    e. In the 'Viewer Protocol Policy' field, select 'Redirect HTTP to HTTPS' or 'HTTPS Only'.

    f. Configure other settings as needed (e.g., cache settings, security settings).

    g. Click 'Create Distribution'.

    h. Update the Lambda function to generate pre-signed URLs for the CloudFront distribution. Replace the 'Bucket' parameter with the CloudFront domain name (e.g., 'xxxxxx.cloudfront.net').

With these steps, you'll have S3 Transfer Acceleration, Amazon API Gateway, and Amazon CloudFront set up for your project. This allows you to securely and efficiently stream audio files directly from your S3 bucket while providing fast-forward and rewind capabilities.